CKD in China: Evolving Spectrum and Public Health Implications

医学 糖尿病 透析 公共卫生 心理干预 糖尿病肾病 肾病 肾脏疾病 中国 重症监护医学 环境卫生 内科学 内分泌学 病理 护理部 法学 政治学
作者
Chao Yang,Haibo Wang,Xinju Zhao,Kunihiro Matsushita,Josef Coresh,Luxia Zhang,Ming‐Hui Zhao
出处
期刊:American Journal of Kidney Diseases [Elsevier BV]
卷期号:76 (2): 258-264 被引量:174
标识
DOI:10.1053/j.ajkd.2019.05.032
摘要

Diabetes is the leading cause of kidney failure worldwide, whereas glomerulonephritis has been predominant in developing countries such as China. The prevalence of obesity and diabetes has increased dramatically in developing countries, substantially affecting the patterns of chronic kidney disease (CKD) observed in these regions. Using data from the Hospital Quality Monitoring System to evaluate changes in the spectrum of non-dialysis-dependent CKD in China, we have observed an increase in the percentage of patients with CKD due to diabetes, which has exceeded that of CKD due to glomerulonephritis since 2011, as well as an increase in hypertensive nephropathy and, in some regions, obstructive kidney disease (mostly associated with kidney stones). The growth of noncommunicable diseases under profound societal and environmental changes has shifted the spectrum of CKD in China toward patterns similar to those of developed countries, which will have enormous impacts on the Chinese health care system. There is much to be done regarding public health interventions, including the establishment of a national CKD surveillance system, improvement in the management of diabetes and hypertension, and enhancement of the affordability and accessibility of kidney replacement therapy. Reducing the burden of CKD will require joint efforts from government, the medical community (including practitioners other than nephrologists), and the public.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
刚刚
英姑应助烤乳朱采纳,获得10
1秒前
初夏发布了新的文献求助10
1秒前
木樨关注了科研通微信公众号
1秒前
碧松桥发布了新的文献求助10
4秒前
猪猪hero发布了新的文献求助10
4秒前
bkagyin应助mavissss采纳,获得10
5秒前
teresa完成签到,获得积分10
5秒前
科研通AI5应助ryan采纳,获得10
5秒前
大个应助丫丫采纳,获得10
7秒前
赘婿应助larychen采纳,获得10
7秒前
7秒前
10秒前
11秒前
传奇3应助judy采纳,获得10
11秒前
11秒前
11秒前
12秒前
12秒前
12秒前
13秒前
SYLH应助Star-XYX采纳,获得10
13秒前
pp完成签到 ,获得积分10
13秒前
13秒前
小蘑菇应助感动的安阳采纳,获得10
14秒前
执念发布了新的文献求助10
16秒前
拖拖发布了新的文献求助10
16秒前
猪猪hero发布了新的文献求助10
17秒前
钟吾敷发布了新的文献求助10
17秒前
蒹葭发布了新的文献求助10
17秒前
爱笑紫菜发布了新的文献求助10
17秒前
小小小杰完成签到,获得积分10
17秒前
19秒前
深情安青应助haohaohao采纳,获得10
22秒前
NICAI应助小龅牙吖采纳,获得10
22秒前
科研通AI5应助小石头采纳,获得10
22秒前
wanci应助羽生结弦的馨馨采纳,获得10
23秒前
larychen发布了新的文献求助10
24秒前
李健应助余贵芹采纳,获得30
24秒前
高分求助中
All the Birds of the World 4000
Production Logging: Theoretical and Interpretive Elements 3000
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Machine Learning Methods in Geoscience 1000
Resilience of a Nation: A History of the Military in Rwanda 888
Musculoskeletal Pain - Market Insight, Epidemiology And Market Forecast - 2034 666
Crystal Nonlinear Optics: with SNLO examples (Second Edition) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3735677
求助须知:如何正确求助?哪些是违规求助? 3279465
关于积分的说明 10015528
捐赠科研通 2996202
什么是DOI,文献DOI怎么找? 1643929
邀请新用户注册赠送积分活动 781579
科研通“疑难数据库(出版商)”最低求助积分说明 749423